This paper provides a literature review of some of the most important concepts, techniques,
and methodologies used within autonomous car systems. Specifically, we focus on two …

In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobile robotics has
grown rapidly. Based on our accumulation of relevant research, this article systematically …

The advancement of artificial intelligence (AI) has truly stimulated the development and
deployment of autonomous vehicles (AVs) in the transportation industry. Fueled by big data …

3D semantic segmentation is a fundamental task for robotic and autonomous driving
applications. Recent works have been focused on using deep learning techniques, whereas …

Safe local motion planning for autonomous driving in dynamic environments requires
forecasting how the scene evolves. Practical autonomy stacks adopt a semantic object …

Navigating safely in urban environments remains a challenging problem for autonomous
vehicles. Occlusion and limited sensor range can pose significant challenges to safely …

The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …

This paper presents a system for online learning of human classifiers by mobile service
robots using 3D LiDAR sensors, and its experimental evaluation in a large indoor public …

Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases
such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …

Smart speakers allow users to interact with home appliances using voice commands and
are becoming increasingly popular. While voice-based interface is intuitive, it is insufficient …